Evidence map›Paper›PMID 38250011›Full record

ArticleCHEST critical care2023

Trajectories of Host-Response Subphenotypes in Patients With COVID-19 Across the Spectrum of Respiratory Support.

Michael Lu, Callie Drohan, William Bain, Faraaz A Shah, Matthew Bittner, John Evankovich, Niall T Prendergast, Matthew Hensley, Tomeka L Suber, Meghan Fitzpatrick and 20 more

Abstract read
In one paragraph

Article in CHEST critical care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Dynamic Cytokine and Coagulation Profiling in Patients With Severe COVID‑19 Evaluated for Pulmonary Embolism: A Prospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Observational
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Dynamics of Subphenotypes in Critical Illness: When the Tick-Tock of the Clock Counts.American journal of respiratory and critical care medicine · 2025
    Article
  9. Temporal Transitions of the Hyperinflammatory and Hypoinflammatory Phenotypes in Critical Illness.American journal of respiratory and critical care medicine · 2025
    Observational
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Michael LuInternal Medicine Residency Program, University of Pittsburgh, Pittsburgh, PA.
Callie DrohanInternal Medicine Residency Program, University of Pittsburgh, Pittsburgh, PA.
William BainDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Faraaz A ShahDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Matthew BittnerInternal Medicine Residency Program, University of Pittsburgh, Pittsburgh, PA.
John EvankovichDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Niall T PrendergastDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Matthew HensleyDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Tomeka L SuberDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Meghan FitzpatrickDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Raj RamananDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
Holt MurrayDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
Caitlin SchaeferDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Shulin QinDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Xiaohong WangDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Yingze ZhangDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Seyed M NouraieDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Heather GentryDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Cathy MurrayDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Asha PatelCenter for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA.
Bernard J MacatangayDivision of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA.
Jana JacobsDivision of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA.
John W MellorsDivision of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA.
Janet S LeeDivision of Pulmonary and Critical Care, Washington University School of Medicine, Saint Louis, MO.
Prabir RayDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Anuradha RayDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Barbara MethéDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Alison MorrisDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Bryan J McVerryDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Georgios D KitsiosDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.

Funding

Regulation of Cardiolin Byosynthesis in Epithelial InjuryP01HL114453 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCVERRY, BRYAN J · 2014 to 2023
$21.3M
Mechanisms of host protection against pathogen-secreted proteases in acute lung injuryR01HL136143 · NHLBI · WASHINGTON UNIVERSITY · PI LEE, JANET SOJUNG · 2017 to 2024
$4.4M
Microbiome-based diagnosis of pneumonia in the acute respiratory distress syndromeK23HL139987 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KITSIOS, GEORGIOS · 2018 to 2022
$806k
Patient-Oriented Research in Acute Lung Injury and Host Defense in the ICUK24HL143285 · NHLBI · WASHINGTON UNIVERSITY · PI LEE, JANET SOJUNG · 2019 to 2023
$579k
Microbial Determinants of Acute Respiratory Distress Syndrome Severity (MiDAS)R03HL162655 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KITSIOS, GEORGIOS · 2022 to 2023
$159k
Platelet factors attenuate alveolar injury during severe pneumoniaIK2BX004886 · VA · VETERANS HEALTH ADMINISTRATION · PI BAIN, WILLIAM G · 2020 to 2024
–
BLRD VA IK2 BX004886NHLBI NIH HHS K23 HL139987NHLBI NIH HHS K24 HL143285NHLBI NIH HHS P01 HL114453NHLBI NIH HHS R01 HL136143NHLBI NIH HHS R03 HL162655
6 · The paper itself

Abstract

backgroundHospitalized patients with severe COVID-19 follow heterogeneous clinical trajectories, requiring different levels of respiratory support and experiencing diverse clinical outcomes. Differences in host immune responses to SARS-CoV-2 infection may account for the heterogeneous clinical course, but we have limited data on the dynamic evolution of systemic biomarkers and related subphenotypes. Improved understanding of the dynamic transitions of host subphenotypes in COVID-19 may allow for improved patient selection for targeted therapies. RESEARCH QUESTION: We examined the trajectories of host-response profiles in severe COVID-19 and evaluated their prognostic impact on clinical outcomes. STUDY DESIGN AND

methodsIn this prospective observational study, we enrolled 323 inpatients with COVID-19 receiving different levels of baseline respiratory support: (1) low-flow oxygen (37%), (2) noninvasive ventilation (NIV) or high-flow oxygen (HFO; 29%), (3) invasive mechanical ventilation (27%), and (4) extracorporeal membrane oxygenation (7%). We collected plasma samples on enrollment and at days 5 and 10 to measure host-response biomarkers. We classified patients by inflammatory subphenotypes using two validated predictive models. We examined clinical, biomarker, and subphenotype trajectories and outcomes during hospitalization.

resultsIL-6, procalcitonin, and angiopoietin 2 persistently were elevated in patients receiving higher levels of respiratory support, whereas soluble receptor of advanced glycation end products (sRAGE) levels displayed the inverse pattern. Patients receiving NIV or HFO at baseline showed the most dynamic clinical trajectory, with 24% eventually requiring intubation and exhibiting worse 60-day mortality than patients receiving invasive mechanical ventilation at baseline (67% vs 35%;

interpretationLongitudinal study of the systemic host response in COVID-19 revealed substantial and predictive interindividual variability influenced by baseline levels of respiratory support.

Indexed as

acute lung injuryacute respiratory failurebiomarkersCOVID-19host responselongitudinalsubphenotypes

Identifiers

PMID38250011
PMCPMC10798236

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.